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A New MLP–GA–Fuzzy Decision Support System for Hydro Power Plant Site Selection

  • Research Article - Computer Engineering and Computer Science
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Abstract

This article propose a Neuro-fuzzy multi-criteria decision-making framework which uses the merits of both Neural Network and Fuzzy approach. The objective of this work is to enable policy maker to select the best hydro power plant installation site by considering important criteria like Ecological and Environmental Impact, Hostility, Socioeconomic Impact, Cost of Energy Delivery, Water Quality and Air Quality. In the case study Multi-layer Perceptron Neural Network trained with Genetic Algorithm is used to classify each of the important attributes of power plant site into different class. In the final stage, by applying fuzzy reasoning, a score is assigned to rank or prioritized different existing as well as upcoming site for installation of hydro power plant in India.

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Authors and Affiliations

  1. National Institute of Technology, Imphal, Manipur, India

    Benjamin A Shimray, Kh. Manglem Singh & Thongam Khelchandra

  2. Départment of Electrical Engineering, NERIST, Itanagar, India

    R. K Mehta

Authors
  1. Benjamin A Shimray
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  2. Kh. Manglem Singh
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  3. Thongam Khelchandra
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  4. R. K Mehta
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Correspondence to Benjamin A Shimray.

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Shimray, B.A., Singh, K.M., Khelchandra, T. et al. A New MLP–GA–Fuzzy Decision Support System for Hydro Power Plant Site Selection. Arab J Sci Eng 43, 6823–6835 (2018). https://doi.org/10.1007/s13369-017-2885-4

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  • DOI: https://doi.org/10.1007/s13369-017-2885-4

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